DriverML: a machine learning algorithm for identifying driver genes in cancer sequencing studies

Although rapid progress has been made in computational approaches for prioritizing cancer driver genes, research is far from achieving the ultimate goal of discovering a complete catalog of genes truly associated with cancer. Driver gene lists predicted from these computational tools lack consistenc...

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Detalles Bibliográficos
Autores principales: Han, Yi, Yang, Juze, Qian, Xinyi, Cheng, Wei-Chung, Liu, Shu-Hsuan, Hua, Xing, Zhou, Liyuan, Yang, Yaning, Wu, Qingbiao, Liu, Pengyuan, Lu, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6486576/
https://www.ncbi.nlm.nih.gov/pubmed/30773592
http://dx.doi.org/10.1093/nar/gkz096

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6486576/
https://www.ncbi.nlm.nih.gov/pubmed/30773592
http://dx.doi.org/10.1093/nar/gkz096

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